Book Image

Python Architecture Patterns

By : Jaime Buelta
Book Image

Python Architecture Patterns

By: Jaime Buelta

Overview of this book

Developing large-scale systems that continuously grow in scale and complexity requires a thorough understanding of how software projects should be implemented. Software developers, architects, and technical management teams rely on high-level software design patterns such as microservices architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD) to make their work easier. This book covers these proven architecture design patterns with a forward-looking approach to help Python developers manage application complexity—and get the most value out of their test suites. Starting with the initial stages of design, you will learn about the main blocks and mental flow to use at the start of a project. The book covers various architectural patterns like microservices, web services, and event-driven structures and how to choose the one best suited to your project. Establishing a foundation of required concepts, you will progress into development, debugging, and testing to produce high-quality code that is ready for deployment. You will learn about ongoing operations on how to continue the task after the system is deployed to end users, as the software development lifecycle is never finished. By the end of this Python book, you will have developed "architectural thinking": a different way of approaching software design, including making changes to ongoing systems.
Table of Contents (23 chapters)
2
Part I: Design
6
Part II: Architectural Patterns
12
Part III: Implementation
15
Part IV: Ongoing operations
21
Other Books You May Enjoy
22
Index

Producing logs in Python

Python includes a standard module to produce logs. This module is easy to use, with a very flexible configuration, but it can be confusing if you don't understand the way it operates.

A basic program to create logs looks like this. This is available as basic_logging.py on GitHub at https://github.com/PacktPublishing/Python-Architecture-Patterns/tree/main/chapter_12_logging:

import logging
# Generate two logs with different severity levels
logging.warning('This is a warning message')
logging.info('This is an info message')

The .warning and .info methods create logs with the corresponding severity message. The message is a text string.

When executed, it shows the following:

$ python3 basic_logging.py
WARNING:root:This is a warning message

The logs are, by default, routed to stdout, which is what we want, but it is configured not to display INFO logs. The format of the logs is also the default, which doesn&apos...